AI Engineering Lead – Technical Team Lead, Insurance Solutions

This is a fully remote position, open to applicants in Latvia.

📋 Description

• Take charge of the technical architecture and strategic direction for a vital insurance platform developed using Java, Oracle, and Kubernetes.

• Lead and nurture an engineering team by managing priorities, allocating responsibilities, overseeing capacity, mentoring engineers, and facilitating professional growth.

• Integrate AI agents into development processes.

• Develop AI-assisted code review methodologies and quality benchmarks for AI-generated outputs.

• Guarantee production reliability and performance across JVM, SQL, Oracle, caching, and Kubernetes environments.

• Investigate intricate production challenges and coordinate resolutions.

• Engage directly with clients and stakeholders during technical escalations.

• Recognize architectural vulnerabilities and spearhead significant system modifications from concept to deployment.

• Enhance testing strategies, verification processes, code reviews, and technical guidelines.

• Plan and assess complex development projects, estimate technical efforts, identify risks, and take ownership of technical decisions.

• Simplify complex technical obstacles into clear decisions and actionable priorities for technical and business stakeholders.

⛳️ Requirements

• Extensive hands-on experience in software engineering and system architecture, ideally with Java-based enterprise applications.

• Experience in leading technical teams, including task delegation, capacity management, technical decision-making, and mentoring.

• Strong grasp of Java, JVM performance, SQL, Oracle databases, caching strategies, and Kubernetes.

• Demonstrated experience in designing, maintaining, and enhancing complex production systems.

• Experience in troubleshooting performance challenges and managing technical incidents.

• Proven track record of driving substantial architectural changes, migrations, or technical advancements from planning to production.

• Hands-on experience with AI coding agents and AI-assisted development tools.

• Ability to critically assess generated solutions and ensure they meet production quality standards.

• Understanding of software quality assurance, automated testing, code review processes, and engineering best practices.

• Capability to evaluate complex technical initiatives and provide reliable estimates.

• Demonstrated ownership of delivery outcomes.

• Strong analytical and problem-solving abilities.

• Capacity to make independent technical decisions and articulate reasoning clearly.

• Excellent communication skills, with the ability to manage technical discussions and escalations with clients in English.

• Collaborative leadership style and a genuine interest in fostering engineer development.

• Legal authorization to work in the EU.

🏝️ Benefits

• Flexibility to choose your work environment — 100% remote, from a modern office in Riga, or a hybrid model.

• Comprehensive health insurance from the first day of employment, covering dentistry, sports, psychosomatics, outpatient rehabilitation programs, and critical illness insurance.

• Paid mobile phone and connection provided after the probation period.

• Opportunities for team-building activities and annual company events.

• Sponsored participation in sports events.

• Flexible working hours.

• Option to reduce working hours to between 30 and 40 hours per week.

• Full sick leave compensation.

• Opportunity to work outside your home country for up to 6 months per year within the EU/EEA.

• Professional development opportunities through training and conferences.

• Access to an internal library.

• Involvement in knowledge-sharing events.

• Chance to lead or take part in internal technology initiatives.

• A colleague referral program offering financial bonuses.

• Compensation for purchasing and maintaining optical products.

• Financial assistance for significant life events.

• Partially paid study leave.

• A democratic and collaborative working environment.

• High autonomy level and the opportunity to influence technological and product directions.

• Supportive onboarding and training process.